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2011 | 53 | 2 |
Tytuł artykułu

Accuracy of tree height estimation based on LIDAR data analysis

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Some modern remote sensing technologies, including LIDAR (LIght Detection And Ranging), have significantly developed recently. Laser scanners mounted on the airborne platform make it possible to collect very precise information over large areas, including tree and stand heights. A literature review shows that the model-based method of tree height determination underestimates this parameter in comparison to field measurements. The objective of the study was to analyze accuracy of the automatic height estimation of Scots pine stands, based on the airborne laser scanning data and the example of the Milicz Forest District. Applied algorithm of the stand segmentation into individual trees gave systematic and significant underestimation of the number of trees. The minimum tree height was estimated with a large negative error reaching up to several meters. The maximum mean and top heights were determined more precisely, with a small negative error of a few percent. The sum of tree heights was determined with an error exceeding 40%, which is caused mostly by the error in estimation of the number of trees.
Wydawca
-
Rocznik
Tom
53
Numer
2
Opis fizyczny
p.123-129,fig.,ref.
Twórcy
  • Division of Geomatics and Spatial Management, Department of Forest Management, Geomatics and Economics, Faculty of Forestry, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
autor
  • Division of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
Bibliografia
  • Będkowski K., Stereńczak K. 2008. Impact of forest stands on the accuracy of DTM derived from airborne LIDAR data. In: Proceedings of the International Conference „Landscape Ecology and Fores Managment”. Chengdu, China, 16– 22 September 2008.
  • Buddenbaum H., Seeling S. 2006. Estimating structural forest attributes using high resolution, airborne hyperspectral and LIDAR imagery. Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, 253– 257.
  • Coops N.C., Wulder M.A., Culvenor D.S., St-Onge B. 2004. Comparison of forest attributes extracted from fine spatial resolution multispectral and LIDAR data. Canadian Journal of Remote Sensing, 6, 855– 866.
  • Heurich M.,Weinacker H. 2004. Automated tree detection and measurement in temperate forest of central Europe using laser scanning data. In: Proceedings of the ISPRS working group VIII/2, Laser-Scanners for Forest and Landscape Assessment, Freiburg, Germany 3– 6 October 2004, 198– 203.
  • Holmgren J., Persson A. 2004. Identifying species of individual trees using airborne laser scanner. Remote Sensing of Environment, 90, 415– 423.
  • IUL. 2003. Instrukcja Urządzania Lasu (Forest Management Manual). Centrum Informacyjne Lasów Państwowych, Warsaw, Poland.
  • Kiraly G., Brolly G. 2006. Estimating forest parameters stand applying airborne laser scanning and Quick-Bird images. In: Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, 79– 90.
  • Koch B., Heyder U., Straub Ch., Weinecker H. 2006. 3D data for forest and environment planning. In: Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, 1– 14.
  • Lefsky M.A., Cohen W.B., Parker G.G., Harding J. 2002. LIDAR Remote Sensing for Ecosystem Studies. BioScience, 52 (1), 19– 30.
  • Maltamo M., Mustonen K., Hyyppä J., Pitkanen J., Yu X. 2004. The accuracy of estimating individual tree variables with airborne laser scanning in boreal nature reserve. Canadian Journal of Forest Research, 34, 1791– 1801.
  • Miścicki S. 2000. Kombinowana dwufazowa inwentaryzacja lasów nizinnych z wykorzystaniem zdjęć lotniczych i stałych-kontrolnych powierzchni próbnych. Fundacja Rozwój SGGW Press, Warsaw, Poland.
  • Naesset E., Bjerknes K. 2001. Estimating tree heights and number of stems in young forest stands using airborne laser scanner data. Remote Sensing of Environment, 78, 328– 340.
  • Naesset E. 2004. Practical large-scale forest stand inventory using a smallfootprint airborne scanning laser. Scandinavian Journal of Forest Research, 19, 164– 179.
  • Reitberger J., Krzystek P., Heurich M. 2006. Full-waveform analysis of small footprint airborne laser scanner data in the Bavarian forest national park for tree species classification. In: Workshop on 3D Remote Sensing in Forestry, Vienna, Austria, 218– 227.
  • Stereńczak K., Będkowski K., Weinacker H. 2008. Accuracy of crown segmentation and estimation of selected trees and forest stand parameters in order to resolution of used DSM and nDSM models generated from dense small footprint LIDAR data. In: ISPRS Congress, Beijing, China, Commission VI, WG VI/5, 27– 32.
  • Tickle P.K., Lee A., Lucas R.M.,Austin J., Witte C. 2006. Quantifying Australian forest floristic and structure using small footprint LIDAR and large scale aerial photography. Forest Ecology and Management, 223, 379– 394.
  • Wack R., Schardt M., Barrucho L., Lohr U., Oliveira T. 2003. Forest inventory for eucalyptus plantations based on airborne laserscanner data. In: WG III/3 Workshop “3-D reconstruction from airborne laserscanner and InSAR data”. Dresden, Germany.
  • Wack R., Stelzl H. 2005. Laser DTM generation for South-Tyrol and 3D – visualization. In: ISPRS Workshop “Laser scanning 2005”. Enschede, Netherands, 48– 53.
  • Weinacker H., Koch B., Heyder U., Weinacker R. 2004a. Development of filtering, segmentation and modeling modules for LIDAR and multispectral data as a fundament of an automatic forest inventory system. In: Laser-Scanners for Forest and Landscape Assessment, WG VIII/2. Freiburg, Germany, 50– 55.
  • Weinacker H., Koch B., Weinacker R. 2004b. TREESVIS – A software system for simultaneous 3DReal- Time visualization of DTM, DSM, Laser raw data, Multi-spectral data, simple tree and building models. In: Proceedings of the ISPRS working group on Laser-Scanners for Forest and Landscape Assessment, Germany.
  • Yu X., Hyyppä J., Hyyppä H., Maltamo M. 2004a. Effects of flight altitude on tree height estimation using airborne laser scanning. In: Laser-Scanners for Forest and Landscape Assessment, WG VIII/2. Freiburg, Germany, 96– 101.
  • Yu X., Hyyppä J., Kaartinen H., Maltamo M. 2004b. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning. Remote Sensing of Environment, 90, 451– 462.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-08b91518-8297-4568-9b53-d7fe0491ec25
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